ASUS TUF Gaming A15 ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NVR_FA507NVR
Geekbench AI Score
3795
Single Precision Score
3719
Half Precision Score
6741
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 21 2025 10:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NVR_FA507NVR |
| Motherboard | ASUSTeK COMPUTER INC. FA507NVR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2782
517.3 IPS |
|
|
Image Classification (HP)
|
100% |
2656
493.9 IPS |
|
|
Image Classification (Q)
|
100% |
5075
943.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4411
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
6283
7.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
13399
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (Q)
|
87% |
4804
385.3 IPS |
|
|
Face Detection (SP)
|
100% |
3957
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
12077
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6848
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5625
43.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
12202
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17471
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17185
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37773
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3178
117.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3271
120.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7546
279.5 IPS |
|
|
Text Classification (SP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (Q)
|
91% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2548
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2514
43.3 IPS |
